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• Local conservation managers need tools to support decision-making. • The spatial prioritisation tool MARXAN are useful for making local strategic decisions. • Including spatial explicit species and cost information can identify cost-efficient solutions. • Heterogeneous targets based on threat status increases target achievement compared to homogeneous targets. This study applied MARXAN to identify cost-efficient areas for biodiversity protection, within the Thy National Park in Denmark. Public authorities have requested a more systematic approach to managing public land, which identifies cost-effective solutions and potential trade-offs between economic cost and biodiversity benefits. The aim of this study was to support the local management staff in setting conservation targets and prioritizing their management efforts. This was addressed through the creation of two primary scenarios: i) applying uniform conservation targets to all biodiversity features, and ii) heterogeneous targets addressing various degrees of conservation importance. Four sub-scenarios were established for each primary scenario to investigate the implications of various conservation targets on conservation cost. Local data on red-listed species and habitat types were used to assess biodiversity benefits. Detailed cost estimates of required conservation actions were included. The results indicated that scenarios with uniform conservation targets provided more flexible networks of protected areas but contributed less to target achievement and a smaller share of selected planning units overlapped with current protected areas. Applying heterogeneous targets based on threat status resulted in a higher degree of target achievement and compactness, but provided less flexible networks. However, these networks may be more suitable for efficient management due to a higher level of clustering and spatial overlap with threatened species distributions. [ABSTRACT FROM AUTHOR]

Abstract: The supply of ecosystem goods and services is spatially heterogeneous and the provision of such goods and services is also influenced by landowners' willingness to provide. This is particularly the case in countries such as Denmark where many properties are privately owned. However, little attention has previously been given to the relationship between farmers' willingness to provide a good or service and the spatial heterogeneity associated with their demand. In this study farmers' willingness to participate in afforestation contracts are investigated using a choice experiment of various contracts with the purpose to provide: groundwater protection, biodiversity conservation or recreation. We employ a random parameter logit model to analyse the relationship between farmers' preferences for afforestation purposes and the spatial variables; groundwater interests, species richness, human population density, forest cover and hunting. The results show that increasing human population density significantly increases farmers' required compensation with respect to recreational activities. Furthermore, there is a significant effect of hunting which decreases compensation required by the farmers to enter an afforestation project. The share of groundwater and forest cover does not significantly influence preferences. We conclude that spatial variations should be considered when designing conservation policies [Copyright &y& Elsevier]